Soobia Saeed

• Doctor of Engineering
• Assistant Professor at Institute for Infocomm Research

NoSQL data storage solutions are gaining popularity due to their scalability and ease of use. This study investigates the maturity of security measures for NoSQL databases, specifically their innovative query and access protocols. The introduction of new query formats renders traditional SQL injection techniques obsolete, but are NoSQL databases re...

The purpose of this research is to improve the understanding and functionality of all Business Intelligence (BI) tools in sales and marketing teams within an organization, spanning management from upper management to operational staff. BW&BI are business warehousing and intelligence applications that would help organizations enhance the return on i...

The objective of this research is to investigate sophisticated approaches for data mining and purification via knowledge discovery in databases (KDD) with generative AI concept, with an emphasis on using generative artificial intelligence. Unstructured data from customer service machine registry reports and structured data from sales, staff, and cu...

In image segmentation, identifying information or object detection in medical im-ages is crucial, particularly information that is harder to spot in magnetic resonance imaging (MRI) of low-grade tumors or cerebrospinal fluid (CSF). To address the aforementioned problems associated with missing data in MRI images and the low quality of MRI images th...

K Nearest Neighbour (k-NN) is one of the most common machine learning algorithms; however, it frequently fails to operate well due to an incorrect distance measure or the existence of a large number of irrelevant pieces of information. To improve k-NN classification, linear and non-linear feature transformation approaches were used to extract class...

The middle-of-the-road nowadays brain cognition is based on artificial intelligence however human subjective emotional and mental state changes cannot simulate the replication of biology. Currently, artificial intelligence does not meet all of our needs due to its limitations, this study's focus on the combination of cognitive psychology and artifi...

Objective NEWS2 (RCP 2017)¹ recommends use of ‘SpO2 Scale 2’ in patients with hypercapnic respiratory failure (usually due to COPD) to aim target saturations of 88–92%. We aimed to identify if COPD patients admitted to medical wards have the correct NEWS2 SpO2 Scale implemented. Methods Prospective audit of adult inpatients with COPD admitted to m...

In Requirement Engineering, gathering specifications for any software is undoubtedly a critical task. The process occurs during the initial phases of software development involving communications among designers and clients. Scientists actually discovered the fact that poor communications are among the many typical issues when determining and shapi...

In a cardio center, heart-care monitoring system,it is essential to continually monitor the patient's physiologicalparameters such as heart patient parameters like heart rate andblood pressure to control their health conditions on an immediatebasis. In this research work, a Ubiquitous CardiovascularHealth-Care System (UCHS) model is proposed that f...

Transportation problem is a model which is commonly used in data structure solving a problem (human problem solving due to the computational method) because all the humans are related to transportation in any type of manner. Normally, traditional mathematical procedures used for solving the problem which is quite lengthy, after the computational so...

Classification of imbalanced data sets particularly in the presence of noise is a significant problem in machine learning and data mining. Support Vector Machine (SVM) is one of the most renowned supervised classification algorithm. However, its performance becomes limited for imbalanced data sets. To improve the performance of SVM for imbalanced d...